Research Group Johannes Maly
Johannes Maly
Prof. Dr.
Associate
Johannes Maly
is Junior Professor at the Working Group Mathematical Data Science and Artificial Intelligence at LMU Munich.
Recent News @MCML
Publications @MCML
2025
[10]
S. Dirksen • W. Li • J. Maly
Subspace estimation under coarse quantization.
SampTA 2025 - 15th International Conference on Sampling Theory and Applications. Vienna, Austria, Jul 28-Aug 01, 2025. DOI
Subspace estimation under coarse quantization.
SampTA 2025 - 15th International Conference on Sampling Theory and Applications. Vienna, Austria, Jul 28-Aug 01, 2025. DOI
[9]
H.-H. Chou • J. Maly • C. M. Verdun • B. Freitas Paulo da Costa • H. Mirandola
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias.
AISTATS 2025 - 28th International Conference on Artificial Intelligence and Statistics. Mai Khao, Thailand, May 03-05, 2025. URL
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias.
AISTATS 2025 - 28th International Conference on Artificial Intelligence and Statistics. Mai Khao, Thailand, May 03-05, 2025. URL
[8]
V. Fojtik • M. Matveev • H.-H. Chou • G. Kutyniok • J. Maly
Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization.
Preprint (May. 2025). arXiv
Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization.
Preprint (May. 2025). arXiv
[7]
S. Dirksen • W. Li • J. Maly
Subspace and DOA estimation under coarse quantization.
Preprint (Feb. 2025). arXiv
Subspace and DOA estimation under coarse quantization.
Preprint (Feb. 2025). arXiv
2024
[6]
T. Yang • J. Maly • S. Dirksen • G. Caire
Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems.
IEEE Transactions on Communications 72.1. Jan. 2024. DOI
Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems.
IEEE Transactions on Communications 72.1. Jan. 2024. DOI
[5]
S. Dirksen • J. Maly
Tuning-free one-bit covariance estimation using data-driven dithering.
Preprint (Jan. 2024). arXiv
Tuning-free one-bit covariance estimation using data-driven dithering.
Preprint (Jan. 2024). arXiv
2023
[4]
C. Kümmerle • J. Maly
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL
[3]
J. Maly
Robust sensing of low-rank matrices with non-orthogonal sparse decomposition.
Applied and Computational Harmonic Analysis 67. Nov. 2023. 2024 ACHA Charles Chui Young Researcher Best Paper Award. DOI
Robust sensing of low-rank matrices with non-orthogonal sparse decomposition.
Applied and Computational Harmonic Analysis 67. Nov. 2023. 2024 ACHA Charles Chui Young Researcher Best Paper Award. DOI
[2]
H.-H. Chou • J. Maly • D. Stöger
How to induce regularization in linear models: A guide to reparametrizing gradient flow.
Preprint (Aug. 2023). arXiv
How to induce regularization in linear models: A guide to reparametrizing gradient flow.
Preprint (Aug. 2023). arXiv
[1]
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